Evidence map›Paper›PMID 34831448›Full record

ArticleCells2021

Interplay between Sublethal Aminoglycosides and Quorum Sensing: Consequences on Survival in

André Carvalho, Evelyne Krin, Chloé Korlowski, Didier Mazel, Zeynep Baharoglu

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Synergistic inhibition ofFrontiers in microbiology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

André CarvalhoUnité Plasticité du Génome Bactérien, Institut Pasteur, UMR3525 CNRS, 75015 Paris, France.
Evelyne KrinUnité Plasticité du Génome Bactérien, Institut Pasteur, UMR3525 CNRS, 75015 Paris, France.
Chloé KorlowskiUnité Plasticité du Génome Bactérien, Institut Pasteur, UMR3525 CNRS, 75015 Paris, France.
Didier MazelUnité Plasticité du Génome Bactérien, Institut Pasteur, UMR3525 CNRS, 75015 Paris, France.ORCID 0000-0001-6482-6002
Zeynep BaharogluUnité Plasticité du Génome Bactérien, Institut Pasteur, UMR3525 CNRS, 75015 Paris, France.ORCID 0000-0003-3477-2685
Centre National de la Recherche Scientifique · FR

Funding

ANR Unibac ANR-17-CE13-0010-01European Union's Horizon 2020 research and innovation programme Marie Sklodowska-Curie grant agreement No 665807Fondation pour la Recherche Médicale FRM Grant No. DBF20160635736Institut Pasteur PTR 245-19
6 · The paper itself

Abstract

Antibiotics are well known drugs which, when present above certain concentrations, are able to inhibit the growth of certain bacteria. However, a growing body of evidence shows that even when present at lower doses (subMIC, for sub-minimal inhibitory concentration), unable to inhibit or affect microbial growth, antibiotics work as signaling molecules, affect gene expression and trigger important bacterial stress responses. However, how subMIC antibiotic signaling interplays with other well-known signaling networks in bacteria (and the consequences of such interplay) is not well understood. In this work, through transcriptomic and genetic approaches, we have explored how quorum-sensing (QS) proficiency of

Indexed as

Microbial ViabilityAminoglycosidesGene Expression Regulation, BacterialMutationQuorum SensingSignal TransductionSOS Response, GeneticsTobramycinTranscriptomeVibrio choleraeAminoglycosidesTobramycinaminoglycosidesantibiotic tolerancebacterial signalingquorum sensingSOS responseVibrio cholerae

Identifiers

PMID34831448
PMCPMC8621022
OpenAlexW3213885714

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.